Biology subjects

Hellings, N.

Publications and source records attributed to Hellings, N..

7 recordsLinked to original sources

bioRxiv2026

Internalization of myelin debris by neutrophils fuels inflammation

Progressive neurodegeneration in the central nervous system (CNS) in multiple sclerosis (MS) is driven by chronic inflammatory demyelination. Neutrophils are increasingly recognized as versatile innate immune cells with potentially underappreciated roles in CNS inflammation, but their contribution to MS pathology remains poorly understood. Interestingly, we observed foamy neutrophils in active CNS lesions of MS patients. Therefore, we investigated the ability of human neutrophils to internalize myelin debris and assessed how this impacts their functional phenotype. Neutrophils exhibited efficient myelin uptake, peaking between 3 and 6 hours, predominantly through complement opsonization and internalization via complement receptor 3. Prolonged exposure to high concentrations of myelin induced a pro-inflammatory phenotype, marked by increased production of reactive oxygen species, neutrophil extracellular traps, and inflammatory mediators such as CXCL8 and CCL3. Gene expression analysis revealed a dose-dependent inflammatory signature after myelin uptake, characterized by gradual upregulation of CXCL8 and decreased ARG1 expression, suggesting a shift toward a pro-inflammatory neutrophil phenotype. These findings provide novel insights into the role of neutrophils in myelin clearance and inflammation in the CNS, highlighting complement receptor 3-mediated uptake and downstream pro-inflammatory activation as key mechanisms.

immunology↗

bioRxiv2023

Amelioration of Functional and Histopathological Consequences after Spinal Cord Injury through Phosphodiesterase 4D (PDE4D) Inhibition

Spinal cord injury (SCI) is a life-changing event that severely impacts the patients quality of life. Two key strategies are currently being considered to improve clinical outcomes after SCI: modulation of the neuroinflammatory response, which exacerbates the primary injury, and stimulation of neuro-regenerative repair mechanisms to improve functional recovery. Cyclic adenosine monophosphate (cAMP) is a second messenger crucially involved in both processes. Following SCI, intracellular levels of cAMP are known to decrease over time. Therefore, preventing cAMP degradation represents a promising strategy to suppress inflammation while stimulating regeneration. Intracellular cAMP levels are controlled by its hydrolyzing enzymes phosphodiesterases (PDEs). The PDE4 family is most abundantly expressed in the central nervous system (CNS) and its inhibition has been shown to be therapeutically relevant for managing SCI pathology. Unfortunately, the use of full PDE4 inhibitors at therapeutic doses is associated with severe emetic side effects, hampering their translation toward clinical applications. Therefore, in this study, we evaluated the effect of inhibiting specific PDE4 subtypes (PDE4B and PDE4D) on inflammatory and regenerative processes following SCI, as inhibitors selective for these subtypes have been demonstrated to be well-tolerated. We reveal that administration of the PDE4D inhibitor Gebr32a, but not the PDE4B inhibitor A33, improved functional as well as histopathological outcomes after SCI, comparable to results obtained with the full PDE4 inhibitor roflumilast. Furthermore, using a luminescent human iPSC-derived neurospheroid model, we show that PDE4D inhibition stabilizes neural viability by preventing apoptosis and stimulating neuronal differentiation. These findings strongly suggest that specific PDE4D inhibition offers a novel therapeutic approach for SCI.

neuroscience↗

bioRxiv2023

Carnosine synthase deficiency aggravates neuroinflammation in multiple sclerosis

Multiple sclerosis (MS) pathology features autoimmune-driven neuroinflammation, demyelination, and failed remyelination. Carnosine is a histidine-containing dipeptide (HCD) with pluripotent homeostatic properties that is able to improve outcomes in an animal MS model (EAE) when supplied exogenously. To uncover if endogenous carnosine is involved in, and protects against, MS-related neuroinflammation, demyelination or remyelination failure, we here studied the HCD-synthesizing enzyme carnosine synthase (CARNS1) in human MS lesions and two preclinical mouse MS models (EAE, cuprizone). We demonstrate that due to its presence in oligodendrocytes, CARNS1 expression is diminished in demyelinated MS lesions and mouse models mimicking demyelination/inflammation, but returns upon remyelination. Carns1-KO mice that are devoid of endogenous HCDs display exaggerated neuroinflammation and clinical symptoms during EAE, which could be partially rescued by exogenous carnosine treatment. Worsening of the disease appears to be driven by a central, not peripheral immune-modulatory, mechanism possibly linked to impaired clearance of the reactive carbonyl acrolein in Carns1-KO mice. In contrast, the presence of CARNS1 and endogenous HCDs does not protect against cuprizone-induced demyelination, and is not required for normal oligodendrocyte precursor cell differentiation and (re)myelin to occur. Exogenously administered carnosine is not effective in blunting demyelination or accelerating remyelination. In conclusion, we show that CARNS1 is diminished in demyelinated MS lesions, which may have detrimental effects on disease progression through weakening the endogenous protection against neuroinflammation.

neuroscience↗

bioRxiv2023

From methylation to myelination: epigenomic and transcriptomic profiling of chronic inactive demyelinated multiple sclerosis lesions

IntroductionIn the progressive phase of multiple sclerosis (MS), the hampered differentiation capacity of oligodendrocyte precursor cells (OPCs) eventually results in remyelination failure. We have previously shown that DNA methylation of Id2/Id4 is highly involved in OPC differentiation and remyelination. In this study, we took an unbiased approach by determining genome-wide DNA methylation patterns within chronically demyelinated MS lesions and investigated how certain epigenetic signatures relate to OPC differentiation capacity. MethodsWe compared genome-wide DNA methylation and transcriptional profiles between chronically demyelinated MS lesions and matched normal-appearing white matter (NAWM), making use of post-mortem brain tissue (n=9/group). DNA methylation differences that inversely correlated with mRNA expression of their corresponding genes were validated for their cell-type specificity in laser-captured OPCs using pyrosequencing. The CRISPR-dCas9-DNMT3a/TET1 system was used to epigenetically edit human-iPSC-derived oligodendrocytes to assess the effect on cellular differentiation. ResultsOur data show hypermethylation of CpGs within genes that cluster in gene ontologies related to myelination and axon ensheathment. Cell type-specific validation indicates a region-dependent hypermethylation of MBP, encoding for myelin basic protein, in OPCs obtained from white matter lesions compared to NAWM-derived OPCs. By altering the DNA methylation state of specific CpGs within the promotor region of MBP, using epigenetic editing, we show that cellular differentiation can be bidirectionally manipulated using the CRISPR-dCas9-DNMT3a/TET1 system in vitro. ConclusionOur data indicate that OPCs within chronically demyelinated MS lesions acquire an inhibitory phenotype, which translates into hypermethylation of crucial myelination related genes. Altering the epigenetic status of MBP can restore the differentiation capacity of OPCs and possibly boost (re)myelination.

neuroscience↗

bioRxiv2022

Rapamycin rescues loss-of-function in blood-brain barrier-interacting regulatory T cells

In many autoimmune diseases, FOXP3+ regulatory T cells (Tregs) skew towards a pro-inflammatory and non-suppressive phenotype and are therefore unable to control the exaggerated autoimmune response. This may largely impact the success of autologous Treg therapy which is currently under investigation for treatment of autoimmune diseases, including multiple sclerosis (MS). Thus, there is a need to ensure in vivo stability of Tregs before successful Treg therapy can be applied. Using a murine genetic fate-mapping model, we demonstrate that inflammatory exFOXP3 T cells accumulate in the central nervous system (CNS) during experimental autoimmune encephalomyelitis (EAE). In a human in vitro BBB model, we discovered that interaction with inflamed blood-brain barrier (BBB)-endothelial cells induces loss of suppressive function in Tregs. Transcriptome analysis further revealed that Tregs which migrated across inflamed BBB-endothelial cells in vitro have a pro-inflammatory Th1/17 signature and upregulate the mTORC1 signaling pathway compared to non-migrated Tregs. These findings suggest that interaction with BBB-endothelial cells is sufficient to affect Treg function, and that transmigration triggers an additive pro-inflammatory phenotype switch, which was also seen in CNS-derived exFOXP3 T cells of EAE mice. In vitro treatment of migrated human Tregs with the clinically-approved mTORC1 inhibitor rapamycin completely restored the loss of suppressive function. Finally, flow cytometric analysis indicated an enrichment of inflammatory, less suppressive CD49d+ Tregs in the cerebrospinal fluid of MS patients, thereby underscoring the relevance of our findings for human disease. In sum, our findings provide firm evidence that the inflamed BBB affects human Treg stability, which can be restored using a mTORC1 inhibitor. These insights can help in significantly improving the efficacy of autologous Treg therapy of MS.

immunology↗

bioRxiv2022

Fatty acid desaturation by stearoyl-CoA desaturase-1 controls regulatory T cell differentiation and autoimmunity

The imbalance between pathogenic and protective T cell subsets is a cardinal feature of autoimmune disorders such as multiple sclerosis (MS). Emerging evidence indicates that endogenous and dietary-induced changes in fatty acid metabolism have a major impact on both T cell fate and autoimmunity. To date, however, the molecular mechanisms that underlie the impact of fatty acid metabolism on T cell physiology and autoimmunity remain poorly understood. Here, we report that stearoyl-CoA desaturase-1 (SCD1), an enzyme essential for the desaturation of fatty acids and highly regulated by dietary factors, acts as an endogenous brake on regulatory T cell (Treg) differentiation and augments autoimmunity in an animal model of MS. Guided by RNA sequencing and lipidomics analysis, we found that absence of Scd1 promotes hydrolysis of triglycerides and phosphatidylcholine through adipose triglyceride lipase (ATGL). ATGL-dependent release of docosahexaenoic acid enhanced Treg differentiation by activating the nuclear receptor peroxisome proliferator-activated receptor gamma. Our findings identify fatty acid desaturation by SCD1 as an essential determinant of Treg differentiation and autoimmunity, with potentially broad implications for the development of novel therapeutic strategies and dietary interventions for autoimmune disorders.

immunology↗

bioRxiv2019

Machine Learning Analysis of Motor Evoked Potential Time Series to Predict Disability Progression in Multiple Sclerosis

BackgroundEvoked potentials (EPs) are a measure of the conductivity of the central nervous system. They are used to monitor disease progression of multiple sclerosis patients. Previous studies only extracted a few variables from the EPs, which are often further condensed into a single variable: the EP score. We perform a machine learning analysis of motor EP that uses the whole time series, instead of a few variables, to predict disability progression after two years. Obtaining realistic performance estimates of this task has been difficult because of small data set sizes. We recently extracted a dataset of EPs from the Rehabiliation & MS Center in Overpelt, Belgium. Our data set is large enough to obtain, for the first time, a performance estimate on an independent test set containing different patients.\n\nMethodsWe extracted a large number of time series features from the motor EPs with the highly comparative time series analysis software package. Mutual information with the target and the Boruta method are used to find features which contain information not included in the features studied in the literature. We use random forests (RF) and logistic regression (LR) classifiers to predict disability progression after two years. Statistical significance of the performance increase when adding extra features is checked with the DeLong hypothesis test.\n\nResultsIncluding extra time series features in motor EPs leads to a statistically significant improvement compared to using only the known features, although the effect is limited in magnitude ({triangleup}AUC = 0.02 for RF and {triangleup}AUC = 0.05 for LR). RF with extra time series features obtains the best performance (AUC = 0.75 {+/-} 0.07), which is good considering the limited number of biomarkers in the model. RF (a nonlinear classifier) outperforms LR (a linear classifier).\n\nConclusionsUsing machine learning methods on EPs shows promising predictive performance. Using additional EP time series features beyond those already in use leads to a modest increase in performance. Larger datasets, preferably multi-center, are needed for further research. Given a large enough dataset, these models may be used to support clinicians in their decision making process regarding future treatment.

immunology↗